It depends on the account tier. Consumer tiers have historically used conversations for model improvement by default, with an opt-out; business and enterprise tiers contractually exclude training. Verify the current terms directly, and note that training is only one of the risks.
The tier distinction
That is the whole answer.
Your policy applies to the tenant you bought. Your employees’ behaviour applies to whatever they are logged into, and someone with your enterprise seat and a personal free account in the same browser can move between them without noticing.
Nothing in the enterprise agreement reaches the personal session.
| Account type | Typical training posture | Who is using it |
|---|---|---|
| Free / personal paid | Used for model improvement by default; opt-out available | Anyone who signed up with their work email in five minutes |
| Team / Business | Excluded by contract | Whoever procurement onboarded |
| Enterprise / API with a DPA | Excluded by contract, retention negotiable | Your sanctioned deployment |
Verify before relying on this. Provider terms change, sometimes with little notice. Any page that states another company’s data-handling terms as settled fact, including this one, should be checked against the live agreement during procurement.
The larger risks
What survives a no-training clause.
Training dominates the conversation because it is vivid. These are less discussed and, for most organisations, larger.
- 01
Retention
Conversations persist for a defined window even when excluded from training. Data in a third party’s storage is data in scope for their breach.
- 02
Human review
Most providers reserve the right to have staff review flagged conversations for abuse and safety monitoring. That is a legitimate safety control, and it is also a human reading your content.
- 03
Subprocessors
The provider’s infrastructure and support vendors sit inside the trust boundary you accepted.
- 04
Cross-border transfer
Where processing happens has GDPR consequences independent of whether a model was trained.
- 05
Your own obligations
If the data was PHI, submitting it to a vendor without a BAA is a disclosure regardless of what the vendor does next.
Deletion
“We’ll just delete the conversation.”
Deleting a conversation removes it from the interface and, after the retention window, from storage. If the content was already used in training, deletion does not extract its influence from the model’s weights, that is not a capability anyone currently offers at production scale.
Which is the real point: the effective control is at submission time. Once sensitive data has been sent to a third party, every remaining option is mitigation of a disclosure that has already occurred.
What a tier actually buys
The difference between tiers is contractual, not technical.
People reach for the enterprise tier expecting a different, safer system. What they get is the same system with different promises attached, and understanding that is what makes the control decisions obvious.
The model is generally the same model. What changes is a contract: an undertaking not to train on your content, a defined retention period, a named processing region in some cases, an addendum you can show an auditor, and somebody to call. Those are worth real money and they are the entire difference. Nothing about the tier changes what happens if a person types something they should not have typed.
Which is the whole argument for a control at the point of sending. The contract governs what the provider may do with what it receives. It has nothing to say about whether it should have received it, and that is the question your staff are answering several times a day without knowing it.
Reading the terms
The commitment you want lives in the processing addendum.
Provider marketing pages change, and they are not the document anybody will hold a provider to. The commitments that matter are in the data processing addendum and the enterprise terms, and they are worth reading once rather than summarising from a blog post.
Four clauses carry the weight. Whether inputs and outputs are excluded from training, and whether that exclusion is a term or a toggle. The retention period, stated in days rather than described as limited. The subprocessor list, which is who else touches the data and is usually a link rather than a clause. And the processing location, which decides whether a transfer question arises at all.
The clause people miss is the one about changes. A provider that reserves the right to vary terms on notice has given you a commitment with a shelf life, and if nobody owns re-reading it at renewal, the assessment you did is describing terms that no longer apply. Put a date on it in the same place you record the contract.
What to tell staff
A setting somebody can turn off is not a control.
Once the enterprise tenant is in place with training excluded, the temptation is to tell staff the problem is solved. It is a reasonable thing to want and it produces the specific failure this page exists to describe.
The tenant is covered. The person signed into their own account on the same website, on the same laptop, in a different browser profile, is not, and nothing about the interface tells them which one they are in. Nor is the colleague who found a newer tool last week that does one job better. The message that works is narrower and more honest: this tool, signed in this way, is covered by an agreement; anything else is not, and here is how to ask for something else to be added.
That message is only credible if the sanctioned tool is genuinely good enough for the work. The most effective control in this whole category is a well-chosen approved tool that people prefer, and no detection product, including ours, substitutes for it.
Questions
Do business and enterprise AI tiers train on submitted data?
Major providers contractually exclude business and enterprise API and workspace traffic from model training. Terms change, so treat any statement of this, including this page, as something to verify against the provider’s current agreement during procurement.
If training is excluded, is the data safe?
Not entirely. Retention windows, human review for abuse monitoring, subprocessor access, breach exposure and cross-border transfer all persist independently of training. Training is the most discussed risk, not the largest.
Can data already submitted be removed from a trained model?
Practically, no. Deleting a conversation removes it from the interface and eventually from storage under the provider’s retention policy. Influence already absorbed into model weights is not something deletion addresses.
Does an opt-out apply retroactively?
No. Opting out changes how future submissions are handled. Content submitted before the opt-out was governed by the terms in force at the time.
Does Itzal see the message itself?
No. The check runs in a small program on the device, and the raw text is never transmitted, stored off the device, or written to a log. Your console receives finding types, frameworks and the action taken.
How long does deployment take?
One installer, pushed by your existing MDM. There is no appliance, no proxy and no certificate to distribute, and turning on another product later is a licence change rather than a second rollout.
What does Itzal not see?
Plenty, and we publish it rather than wait to be asked. Coverage is reported per surface and the uncovered ones are named. Surface coverage.
Does turning off training delete what was already sent?
No. The setting applies going forward. Content already used in training cannot be extracted from a model's weights afterwards, and deleting a conversation removes it from the interface and, after the retention window, from storage. Neither reverses a disclosure that has already happened.
Is an enterprise tenant enough on its own?
It covers what goes through the tenant. It does nothing about the same person signed into a personal account on the same site, or a newer tool nobody has assessed yet, and nothing in the interface tells them which one they are in. That gap is the common failure, not the terms.
Where should we actually read the commitment?
The data processing addendum and the enterprise terms, not the marketing page. Look for training exclusion, a retention period in days, the subprocessor list and the processing location. Then note when the provider may change those terms, and put a review date somewhere somebody will see it.
Keep reading
- Prevention How to stop employees pasting sensitive data into ChatGPT Blocking, training, an AI gateway, endpoint detection, and the failure mode of each. 6 min read
- Product Itzal Guard Checks what people type, paste and upload into ChatGPT, Claude, Gemini and seven other AI tools. Product page
- Product Surface coverage An honest coverage matrix for AI DLP: which surfaces Itzal inspects, which it doesn't. Product page
- Glossary Shadow AI Employee use of AI outside governed channels: personal accounts, unapproved products, and the browser tab nobody logged. 3 min read